Literature DB >> 27092666

Novel assessment of global metabolism by 18F-FDG-PET for localizing affected lobe in temporal lobe epilepsy.

Jonah Peter1, Sina Houshmand, Thomas J Werner, Domenico Rubello, Abass Alavi.   

Abstract

The aim of this study was to develop a novel method of global quantitative analysis for use in the diagnosis and treatment evaluation of temporal lobe epilepsy (TLE). We studied 16 patients diagnosed with TLE who underwent fluorine-18 fluorodeoxyglucose-PET (F-FDG-PET) and MRI at the Hospital of the University of Pennsylvania. To quantify temporal lobe hypometabolism, we averaged the mean standardized uptake value across regions of interest (ROIs) encompassing each lobe in its entirety and calculated the metabolic ratios and lateralization indices for each patient on the basis of global measurements. For comparison, we carried out a traditional 'punch biopsy' ROI analysis by averaging the mean standardized uptake value within 1 cm diameter ROIs across select slices. Both techniques were performed twice by the same rater to test intraobserver variability. An expert observer carried out visual analyses of both F-FDG-PET and MRI for reference. The global quantitative analysis identified a seizure focus lateralization in agreement with clinical evaluations for 91% of patients on both trials, with intraclass correlation coefficients of 0.97 and 0.92 for metabolic ratios and lateralization indices, respectively. The punch biopsy analysis was in agreement for 91 and 82% of patients on respective trials, with intraclass correlation coefficients of 0.90 and 0.75. Expert visual analyses carried out on F-FDG-PET and MRI were in agreement for 64 and 9% of patients, respectively. The global quantitative analysis proved to be the most accurate and reliable of the methods tested. This technique has the potential to improve metabolic analysis in TLE and other neuropsychiatric disorders.

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Year:  2016        PMID: 27092666     DOI: 10.1097/MNM.0000000000000526

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  4 in total

1.  An update on the unparalleled impact of FDG-PET imaging on the day-to-day practice of medicine with emphasis on management of infectious/inflammatory disorders.

Authors:  Abass Alavi; Søren Hess; Thomas J Werner; Poul Flemming Høilund-Carlsen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-09-04       Impact factor: 9.236

2.  Identifying and Analyzing Novel Epilepsy-Related Genes Using Random Walk with Restart Algorithm.

Authors:  Wei Guo; Dong-Mei Shang; Jing-Hui Cao; Kaiyan Feng; Yi-Chun He; Yang Jiang; ShaoPeng Wang; Yu-Fei Gao
Journal:  Biomed Res Int       Date:  2017-02-01       Impact factor: 3.411

3.  Machine Learning Quantitative Analysis of FDG PET Images of Medial Temporal Lobe Epilepsy Patients.

Authors:  Yen-Cheng Shih; Tse-Hao Lee; Hsiang-Yu Yu; Chien-Chen Chou; Cheng-Chia Lee; Po-Tso Lin; Syu-Jyun Peng
Journal:  Clin Nucl Med       Date:  2022-04-01       Impact factor: 7.794

4.  Evaluation of brain FDG PET images in temporal lobe epilepsy for lateralization of epileptogenic focus using data mining methods

Authors:  Ümit Özgür Akdemir; Irem Çapraz; Seda Gülbahar Ateş; Kerim Şeker; Uğuray Aydos; Gökhan Kurt; Neşe Karabacak; Lütfiye Özlem Atay; Erhan Bilir
Journal:  Turk J Med Sci       Date:  2020-06-23       Impact factor: 0.973

  4 in total

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